Actuarial Pricing Modeling Role CRESCENDO GLOBAL LEADERSHIP HIRING INDIA PRIVATE L

The Corporate Institute; Gurgaon; Sur place; INR 900 000 - 1 500 000; Plein temps

Résumé du poste

The Corporate Institute in Gurgaon is seeking a skilled actuarial pricing modeler to develop and refine P&C pricing models using GLMs and machine learning. You will own end-to-end modeling pipelines, including data prep, feature engineering, model fitting, validation, and monitoring on large datasets.

You will apply GBMs and other ML methods alongside traditional GLMs, support regulatory filings with clear documentation, and stay aligned with market trends and pricing governance in the U.S.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as engineering, economics, mathematics, actuarial science, statistics, data science.
• 2–8 years of pricing/modeling experience in P&C insurance with model ownership.
• Strong GLMs for pricing or risk segmentation and ML applications to insurance problems.

Responsabilités

• Develop, refine, and maintain pricing and risk models for P&C insurance products using GLMs and ML.
• Build end-to-end modeling pipelines including data prep, feature engineering, model fitting, validation, and monitoring.
• Apply GBMs, random forests, and penalized regression alongside GLMs.
• Support rate reviews and filings with model documentation and explanations of results.
• Conduct market research to align pricing models with trends and regulatory changes.
• Design pricing tools and deployment workflows to automate processes.

Connaissances

GLMs

Machine learning

Pricing modeling

Python

SQL

R

Data analysis

Formation

Bachelor’s/Master’s degree in a quantitative field

Outils

Emblem

Radar

SAS

Description du poste

Job Description:

Actuarial Pricing Modeling – GLM – 2+ Years – Gurgaon

P&C Pricing Modeler – Personal Lines (GLM & ML) role focused on developing, refining, and maintaining pricing and risk models for P&C insurance products using GLMs and machine learning techniques, with a focus on personal lines auto and homeowners.

Location – Gurgaon.

Your Future Employer:

A leading operations management and analytics organization delivering data-driven solutions across insurance, healthcare, banking, capital markets, utilities, retail, travel, transportation, and logistics.

Responsibilities:

• Develop, refine, and maintain pricing and risk models for P&C insurance products using Generalized Linear Models (GLMs) and machine learning techniques, with a focus on personal lines auto and homeowners.
• Build end-to-end modeling pipelines covering data preparation, feature engineering, variable selection, model fitting, validation, and performance monitoring on large policy and claims datasets.
• Apply machine learning methods such as GBMs (XGBoost/LightGBM), random forests, and penalized regression alongside traditional GLMs.
• Support rate reviews and regulatory filings by producing model documentation, exhibits, and defensible explanations of model structure and variable effects.
• Conduct competitive analysis and market research to keep pricing models aligned with market trends, loss cost developments, and regulatory changes.
• Design and enhance pricing tools, model deployment workflows, and analytical assets to streamline and automate pricing processes.

Requirements:

• Bachelor’s/Master’s degree in engineering, economics, mathematics, actuarial science, statistics, data science, or a related quantitative field.
• 2 – 8 years of pricing/modeling experience in the P&C insurance industry, with hands‑on model development ownership.
• Strong experience building GLMs for pricing or risk segmentation, including frequency/severity, pure premium, and loss ratio models.
• Proven experience applying machine learning techniques such as GBMs (XGBoost/LightGBM), random forests, or regularized regression to insurance pricing or related problems.
• Experience in personal lines, particularly auto and/or homeowners pricing, is strongly preferred.
• Proficiency in Python and/or R for statistical modeling and machine learning, along with strong SQL skills for data extraction and manipulation.
• Working knowledge of pricing platforms and tools such as Emblem, Radar, SAS, or equivalent is preferred.

What is in it for you:

• Opportunity to work on complex P&C insurance pricing and risk modeling problems across personal lines.
• Exposure to advanced analytics, GLMs, machine learning, and large-scale policy and claims datasets.
• Opportunity to build expertise in insurance pricing, model governance, rate filings, and regulatory considerations in the U.S. market.